Evidence map›Paper›PMID 41915681›Full record

ArticleJMIR rehabilitation and assistive technologies2026

Telerehabilitation Following Stroke: Development of Training Content and Evaluation of an App-Based Training Program.

Carina Ziller, Szabina Gäumann, Silya Lüscher, Nele Paulissen, Frank Behrendt, Zorica Suica, Björn Crüts, Luana Gamerschlag, Katrin Parmar, Hans Ulrich Gerth and 2 more

Abstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Carina ZillerResearch Department, Reha Rheinfelden, Salinenstrasse 98, Rheinfelden, 4310, Switzerland, 41 618365382.ORCID http://orcid.org/0000-0002-2755-4746
Szabina GäumannResearch Department, Reha Rheinfelden, Salinenstrasse 98, Rheinfelden, 4310, Switzerland, 41 618365382.ORCID http://orcid.org/0000-0002-1535-2063
Silya LüscherResearch Department, Reha Rheinfelden, Salinenstrasse 98, Rheinfelden, 4310, Switzerland, 41 618365382.ORCID http://orcid.org/0009-0000-8219-6761
Nele PaulissenResearch Department, Reha Rheinfelden, Salinenstrasse 98, Rheinfelden, 4310, Switzerland, 41 618365382.ORCID http://orcid.org/0009-0005-0103-7344
Frank BehrendtResearch Department, Reha Rheinfelden, Salinenstrasse 98, Rheinfelden, 4310, Switzerland, 41 618365382.ORCID http://orcid.org/0000-0001-6967-0000
Zorica SuicaResearch Department, Reha Rheinfelden, Salinenstrasse 98, Rheinfelden, 4310, Switzerland, 41 618365382.ORCID http://orcid.org/0000-0002-1703-8713
Björn CrütsBlended Clinic AI GmbH, Nuremberg, Germany.ORCID http://orcid.org/0009-0007-5580-3301
Luana GamerschlagBlended Clinic AI GmbH, Nuremberg, Germany.ORCID http://orcid.org/0009-0008-9057-6498
Katrin ParmarResearch Department, Reha Rheinfelden, Salinenstrasse 98, Rheinfelden, 4310, Switzerland, 41 618365382.ORCID http://orcid.org/0000-0002-4251-6238
Hans Ulrich GerthResearch Department, Reha Rheinfelden, Salinenstrasse 98, Rheinfelden, 4310, Switzerland, 41 618365382.ORCID http://orcid.org/0009-0006-6706-6495
Leo H BonatiResearch Department, Reha Rheinfelden, Salinenstrasse 98, Rheinfelden, 4310, Switzerland, 41 618365382.ORCID http://orcid.org/0000-0003-1163-8133
Corina Schuster-AmftResearch Department, Reha Rheinfelden, Salinenstrasse 98, Rheinfelden, 4310, Switzerland, 41 618365382.ORCID http://orcid.org/0000-0003-1120-4423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Enhancing rehabilitation methods for patients with stroke is essential, particularly during the transition from inpatient to outpatient care. Digital applications are being developed to provide telerehabilitation programs. The existing virtual blended care platform Blended Clinic (Blended Clinic AI GmbH) offers app-based training for patients after a stroke and comprises 3 main components, including training, coaching, and monitoring. Objective: This study assesses the usability and user experience of the novel Swiss Tele-Assisted Rehabilitation and Training (START) program within the Blended Clinic platform in patients after stroke and therapists. Methods: The START program was developed within 3 workshops and an online survey. It contains 10 6-week exercise programs tailored to the levels of the modified Rankin Scale (mRS), 5 infographics, and 5 podcasts. Eight patients after stroke and 10 therapists took part in a single-center usability study. All participants were introduced to the Blended Clinic app and subsequently used it independently. The Blended Clinic platform, including the START program, was evaluated by both user groups based on the System Usability Scale (SUS) and the Mobile App Rating Scale (MARS-G). Additionally, feedback was collected, observations were documented, and program adherence metrics were calculated. Results: The mean SUS scores were 87.2 (SD 10.8) for 8 patients and 83.3 (SD 11.3) for 10 therapists. The MARS-G scores were 3.9 (SD 0.5) for patients and 4.1 (SD 0.4) for therapists for categories A-D. User experience was rated 4.1 (SD 0.5) for patients, while device usability was 3.8 (SD 0.8) for patients and 4.2 (SD 0.5) for therapists. Adherence to the training schedule varied among patients (16.7%-80% of the planned sessions) and was rather low for many of the patients. Conclusions: The START program, delivered via the Blended Clinic platform, was considered user-friendly and received good usability ratings from patients with stroke and therapists. Recommendations to enhance compliance are provided.

Indexed as

app-based trainingblended carestroketelerehabilitationusability

Identifiers

PMID41915681
PMCPMC13037760

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.